Condition Monitoring System of Electromechanical Equipment Based on Fiber Bragg Grating Sensors and Artificial Neural Network

2018 ◽  
Author(s):  
Xinyue Chen
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fiber Bragg Grating ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Bragg Grating ◽  
Fiber Bragg Grating Sensors ◽  
Artificial Neural ◽  
Condition Monitoring System ◽  
Electromechanical Equipment

Research of Intelligent Substation Condition Monitoring Based on the Neural Network

2013 ◽  
Vol 325-326 ◽  
pp. 692-696
Author(s):  
Da Peng Chai ◽  
Qiang Qiang Xue ◽  
Ling Mei Wang ◽  
Xing Yong Zhao
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fault Diagnosis ◽  
Electric Power ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Power Equipment ◽  
The Neural Network ◽  
Condition Monitoring System ◽  
Artificial Neural Network Ann

The substation electric power equipment condition monitoring is the basis of intelligent substation. This paper analyzes the composition of the substation electric power equipment condition monitoring system and monitoring parameters, and with the transformer condition monitoring as an example, this paper proposes fault diagnosis methods of electric power equipment using artificial neural network(ANN).

The Design of Shafting Condition Monitoring System for Rotating Machinery Based on Fiber Bragg Grating Sensor

2014 ◽  
Vol 898 ◽  
pp. 738-742
Author(s):  
Fan Qiu ◽  
Quan Liu ◽  
Jing Song Li ◽  
Fan Zhang
Keyword(s):  
Fiber Bragg Grating ◽  
Real Time ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Rotating Machinery ◽  
Bragg Grating ◽  
Operation Condition ◽  
3 Dimensional ◽  
Long Time ◽  
Condition Monitoring System

FBG (Fiber Bragg Grating) is especially suitable for the shafting operation condition monitoring of rotating machinery under the harsh working environment for a long time with its advantages of anti-electromagnetic interference, easy reuse, good stability, environmental adaptability and so on. The overall architecture of the shafting operation condition monitoring system based on FBG sensing network is proposed. In the system, FBG multi-channel distributed sensing network is used to fully apperceive the real-time operation condition information of the equipment. While the Windows Presentation Foundation (WPF) and 3-Dimensional Studio Max (3DMAX) technologies are used to realize the intuitive 3-Dimensional (3D) virtual display to monitor the equipment. Besides, the sensing information data stream is processed in real time to display the running state of the equipment. Also, mass sensing information is analyzed and stored by the real-time processing method. The stability and reliability of the proposed framework and key technology is verified by the system long-time implementation results.

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